Data Loading in Snowflake: Using External Stages
Snowflake
| Expert
- 15 videos | 1h 33m 28s
- Includes Assessment
- Earns a Badge
Snowflake can load data from the Google Cloud Platform (GCP), Microsoft Azure, and Amazon Simple Storage Service (S3) using external stages. Each cloud platform has one or more techniques for integrating with Snowflake. One method of integration that is supported across all three of the major cloud platforms is storage integration objects. Begin this course by loading data from Google Cloud Storage buckets. Create a Snowflake storage integration object and a GCP cloud storage service account for your Snowflake account. Then, load data from Azure Blob Storage using both the storage integration method and the SAS token method. Finally, integrate with Amazon S3 via storage integrations and using an access key and access key ID credentials. When you have completed this course, you will be able to easily integrate Snowflake with Google Cloud Storage, Azure Blob Storage, and Amazon S3.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseRecall how external stages work in snowflakeRecall how to integrate snowflake with google cloud platform (gcp)Create a gcs bucketConfigure gcp permissionsQuery data in gcs from snowflakeRecall how to integrate snowflake with azureSet up azure blob storage
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Integrate azure blob storage with snowflakeRecall how to integrate with amazon simple storage service (s3)Set up an amazon s3 bucketConnect to amazon s3 from snowflakeConnect to amazon s3 using access keysCreate and use external tablesSummarize the key concepts covered in this course
IN THIS COURSE
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1m 36s
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3m 9s
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3m 24s
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7m 40s
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7m 47s
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6m 20s
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5m
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8m 28s
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6m 31s
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4m 20s
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5m 53s
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10m 37s
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6m 52s
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11m 24s
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4m 29s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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